Top Gun Lab Profiling Report

Dataset statistics

Number of variables	22
Number of observations	3575
Missing cells	47
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	614.6 KiB
Average record size in memory	176.0 B

Variable types

Numeric	13
Categorical	9

Alerts

`Title` has a high cardinality: 273 distinct values	High cardinality
`Issn` has a high cardinality: 273 distinct values	High cardinality
`Publisher` has a high cardinality: 134 distinct values	High cardinality
`Coverage` has a high cardinality: 104 distinct values	High cardinality
`Categories` has a high cardinality: 1033 distinct values	High cardinality
`df_index` is highly correlated with `Rank` and 1 other fields	High correlation
`Rank` is highly correlated with `df_index` and 3 other fields	High correlation
`Sourceid` is highly correlated with `Country`	High correlation
`SJR` is highly correlated with `SJR Quartile` and 3 other fields	High correlation
`H index` is highly correlated with `SJR Quartile` and 1 other fields	High correlation
`Total Docs. (3years)` is highly correlated with `Total Refs.` and 3 other fields	High correlation
`Total Refs.` is highly correlated with `Total Docs. (3years)` and 3 other fields	High correlation
`Total Cites (3years)` is highly correlated with `SJR` and 4 other fields	High correlation
`Citable Docs. (3years)` is highly correlated with `Total Docs. (3years)` and 3 other fields	High correlation
`Cites / Doc. (2years)` is highly correlated with `SJR`	High correlation
`Ref. / Doc.` is highly correlated with `SJR`	High correlation
`Year` is highly correlated with `df_index` and 1 other fields	High correlation
`Total Docs. per Year` is highly correlated with `Total Docs. (3years)` and 3 other fields	High correlation
`Region` is highly correlated with `Country`	High correlation
`Country` is highly correlated with `Rank` and 5 other fields	High correlation
`Type` is highly correlated with `Country`	High correlation
`SJR Quartile` is highly correlated with `Rank` and 3 other fields	High correlation
`Publisher` has 47 (1.3%) missing values	Missing
`df_index` has unique values	Unique
`SJR` has 336 (9.4%) zeros	Zeros
`Total Docs. (3years)` has 186 (5.2%) zeros	Zeros
`Total Refs.` has 105 (2.9%) zeros	Zeros
`Total Cites (3years)` has 202 (5.7%) zeros	Zeros
`Citable Docs. (3years)` has 190 (5.3%) zeros	Zeros
`Cites / Doc. (2years)` has 227 (6.3%) zeros	Zeros
`Ref. / Doc.` has 105 (2.9%) zeros	Zeros
`Total Docs. per Year` has 84 (2.3%) zeros	Zeros

Reproduction

Analysis started	2022-10-06 22:34:17.462579
Analysis finished	2022-10-06 22:35:07.233819
Duration	49.77 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	3575
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5655.44

Minimum	0
Maximum	13283
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	207.4
Q1	1477.5
median	4978
Q3	9435.5
95-th percentile	13099.3
Maximum	13283
Range	13283
Interquartile range (IQR)	7958

Descriptive statistics

Standard deviation	4320.129918
Coefficient of variation (CV)	0.7638892673
Kurtosis	-1.273442666
Mean	5655.44
Median Absolute Deviation (MAD)	3777
Skewness	0.3094810593
Sum	20218198
Variance	18663522.51
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
8081	1	< 0.1%
8070	1	< 0.1%
8071	1	< 0.1%
8072	1	< 0.1%
8073	1	< 0.1%
8074	1	< 0.1%
8075	1	< 0.1%
8076	1	< 0.1%
8077	1	< 0.1%
Other values (3565)	3565	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
13283	1	< 0.1%
13282	1	< 0.1%
13281	1	< 0.1%
13280	1	< 0.1%
13278	1	< 0.1%
13277	1	< 0.1%
13276	1	< 0.1%
13275	1	< 0.1%
13274	1	< 0.1%
13273	1	< 0.1%

Rank
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	792
Distinct (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	219.5018182

Minimum	1
Maximum	1491
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	47
median	101
Q3	219
95-th percentile	941.3
Maximum	1491
Range	1490
Interquartile range (IQR)	172

Descriptive statistics

Standard deviation	305.0994131
Coefficient of variation (CV)	1.389963034
Kurtosis	4.856370024
Mean	219.5018182
Median Absolute Deviation (MAD)	69
Skewness	2.305731727
Sum	784719
Variance	93085.65186
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	22	0.6%
7	22	0.6%
30	22	0.6%
63	22	0.6%
4	22	0.6%
3	22	0.6%
53	21	0.6%
16	21	0.6%
22	21	0.6%
6	21	0.6%
Other values (782)	3359	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	22	0.6%
2	21	0.6%
3	22	0.6%
4	22	0.6%
5	20	0.6%
6	21	0.6%
7	22	0.6%
8	21	0.6%
9	21	0.6%
10	20	0.6%

Value	Count	Frequency (%)
1491	1	< 0.1%
1490	1	< 0.1%
1489	1	< 0.1%
1488	1	< 0.1%
1487	1	< 0.1%
1486	1	< 0.1%
1485	1	< 0.1%
1484	1	< 0.1%
1483	1	< 0.1%
1482	1	< 0.1%

Sourceid
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	273
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7036154253

Minimum	12237
Maximum	2.110105891 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	12237
5-th percentile	12962
Q1	24141
median	25482
Q3	1.990019198 × 10¹⁰
95-th percentile	2.110098561 × 10¹⁰
Maximum	2.110105891 × 10¹⁰
Range	2.110104667 × 10¹⁰
Interquartile range (IQR)	1.990016783 × 10¹⁰

Descriptive statistics

Standard deviation	9545631647
Coefficient of variation (CV)	1.356654687
Kurtosis	-1.455807508
Mean	7036154253
Median Absolute Deviation (MAD)	12055
Skewness	0.6948689356
Sum	2.515425146 × 10¹³
Variance	9.111908354 × 10¹⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12872	22	0.6%
24449	22	0.6%
23917	22	0.6%
24772	22	0.6%
23674	22	0.6%
24777	22	0.6%
24182	22	0.6%
24806	22	0.6%
24360	22	0.6%
23737	22	0.6%
Other values (263)	3355	93.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12237	12	0.3%
12358	18	0.5%
12409	22	0.6%
12795	22	0.6%
12872	22	0.6%
12874	22	0.6%
12886	22	0.6%
12931	22	0.6%
12962	22	0.6%
12981	22	0.6%

Value	Count	Frequency (%)
2.110105891 × 10¹⁰	4	0.1%
2.110105882 × 10¹⁰	2	0.1%
2.110105802 × 10¹⁰	2	0.1%
2.110105575 × 10¹⁰	2	0.1%
2.110105479 × 10¹⁰	3	0.1%
2.110105433 × 10¹⁰	5	0.1%
2.110105292 × 10¹⁰	2	0.1%
2.110105274 × 10¹⁰	2	0.1%
2.110105235 × 10¹⁰	4	0.1%
2.110105183 × 10¹⁰	3	0.1%

Title
Categorical

HIGH CARDINALITY

Distinct	273
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

Cognitive Psychology	22
Kybernetika	22
Journal of Intelligent and Fuzzy Systems	22
Knowledge-Based Systems	22
Applied Intelligence	22
Other values (268)	3465

Length

Max length	103
Median length	62
Mean length	35.09202797
Min length	6

Characters and Unicode

Total characters	125454
Distinct characters	59
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.2%

Sample

1st row	Cognitive Psychology
2nd row	Journal of Memory and Language
3rd row	IEEE Transactions on Pattern Analysis and Machine Intelligence
4th row	Autonomous Agents and Multi-Agent Systems
5th row	IEEE Transactions on Fuzzy Systems

Common Values

Value	Count	Frequency (%)
Cognitive Psychology	22	0.6%
Kybernetika	22	0.6%
Journal of Intelligent and Fuzzy Systems	22	0.6%
Knowledge-Based Systems	22	0.6%
Applied Intelligence	22	0.6%
Minds and Machines	22	0.6%
Engineering Applications of Artificial Intelligence	22	0.6%
Neural Processing Letters	22	0.6%
Journal of Intelligent and Robotic Systems: Theory and Applications	22	0.6%
Computational Intelligence	22	0.6%
Other values (263)	3355	93.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	1239	8.2%
and	1216	8.0%
journal	1131	7.5%
systems	653	4.3%
intelligence	617	4.1%
international	526	3.5%
artificial	462	3.1%
intelligent	336	2.2%
on	269	1.8%
transactions	241	1.6%
Other values (292)	8420	55.7%

Most occurring characters

Value	Count	Frequency (%)
n	13223	10.5%
	11535	9.2%
e	10326	8.2%
i	10037	8.0%
t	8568	6.8%
o	8564	6.8%
a	8416	6.7%
l	6164	4.9%
r	5440	4.3%
s	5114	4.1%
Other values (49)	38067	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99744	79.5%
Uppercase Letter	13384	10.7%
Space Separator	11535	9.2%
Other Punctuation	325	0.3%
Dash Punctuation	204	0.2%
Open Punctuation	131	0.1%
Close Punctuation	131	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	13223	13.3%
e	10326	10.4%
i	10037	10.1%
t	8568	8.6%
o	8564	8.6%
a	8416	8.4%
l	6164	6.2%
r	5440	5.5%
s	5114	5.1%
c	4452	4.5%
Other values (15)	19440	19.5%

Uppercase Letter

Value	Count	Frequency (%)
I	2387	17.8%
A	1533	11.5%
S	1498	11.2%
J	1205	9.0%
E	1067	8.0%
C	1033	7.7%
M	712	5.3%
R	691	5.2%
T	591	4.4%
P	541	4.0%
Other values (15)	2126	15.9%

Other Punctuation

Value	Count	Frequency (%)
:	113	34.8%
,	98	30.2%
/	73	22.5%
'	31	9.5%
.	10	3.1%

Space Separator

Value	Count	Frequency (%)
	11535	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	204	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	131	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	131	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	113128	90.2%
Common	12326	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	13223	11.7%
e	10326	9.1%
i	10037	8.9%
t	8568	7.6%
o	8564	7.6%
a	8416	7.4%
l	6164	5.4%
r	5440	4.8%
s	5114	4.5%
c	4452	3.9%
Other values (40)	32824	29.0%

Common

Value	Count	Frequency (%)
	11535	93.6%
-	204	1.7%
(	131	1.1%
)	131	1.1%
:	113	0.9%
,	98	0.8%
/	73	0.6%
'	31	0.3%
.	10	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125454	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	13223	10.5%
	11535	9.2%
e	10326	8.2%
i	10037	8.0%
t	8568	6.8%
o	8564	6.8%
a	8416	6.7%
l	6164	4.9%
r	5440	4.3%
s	5114	4.1%
Other values (49)	38067	30.3%

Type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

journal	3418
book series	157

Length

Max length	11
Median length	7
Mean length	7.175664336
Min length	7

Characters and Unicode

Total characters	25653
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	journal
2nd row	journal
3rd row	journal
4th row	journal
5th row	journal

Common Values

Value	Count	Frequency (%)
journal	3418	95.6%
book series	157	4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
journal	3418	91.6%
book	157	4.2%
series	157	4.2%

Most occurring characters

Value	Count	Frequency (%)
o	3732	14.5%
r	3575	13.9%
j	3418	13.3%
u	3418	13.3%
n	3418	13.3%
a	3418	13.3%
l	3418	13.3%
s	314	1.2%
e	314	1.2%
b	157	0.6%
Other values (3)	471	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25496	99.4%
Space Separator	157	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3732	14.6%
r	3575	14.0%
j	3418	13.4%
u	3418	13.4%
n	3418	13.4%
a	3418	13.4%
l	3418	13.4%
s	314	1.2%
e	314	1.2%
b	157	0.6%
Other values (2)	314	1.2%

Space Separator

Value	Count	Frequency (%)
	157	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25496	99.4%
Common	157	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3732	14.6%
r	3575	14.0%
j	3418	13.4%
u	3418	13.4%
n	3418	13.4%
a	3418	13.4%
l	3418	13.4%
s	314	1.2%
e	314	1.2%
b	157	0.6%
Other values (2)	314	1.2%

Common

Value	Count	Frequency (%)
	157	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25653	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3732	14.5%
r	3575	13.9%
j	3418	13.3%
u	3418	13.3%
n	3418	13.3%
a	3418	13.3%
l	3418	13.3%
s	314	1.2%
e	314	1.2%
b	157	0.6%
Other values (3)	471	1.8%

Issn
Categorical

HIGH CARDINALITY

Distinct	273
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

10955623, 00100285	22
00235954, 1805949X	22
18758967, 10641246	22
09507051	22
0924669X, 15737497	22
Other values (268)	3465

Length

Max length	18
Median length	18
Mean length	14.18461538
Min length	8

Characters and Unicode

Total characters	50710
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.2%

Sample

1st row	10955623, 00100285
2nd row	10960821, 0749596X
3rd row	01628828
4th row	15737454, 13872532
5th row	10636706

Common Values

Value	Count	Frequency (%)
10955623, 00100285	22	0.6%
00235954, 1805949X	22	0.6%
18758967, 10641246	22	0.6%
09507051	22	0.6%
0924669X, 15737497	22	0.6%
09246495, 15728641	22	0.6%
09521976	22	0.6%
13704621, 1573773X	22	0.6%
15730409, 09210296	22	0.6%
08247935, 14678640	22	0.6%
Other values (263)	3355	93.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10955623	22	0.4%
15737527	22	0.4%
02692821	22	0.4%
15737462	22	0.4%
08912017	22	0.4%
15309312	22	0.4%
03782166	22	0.4%
09205691	22	0.4%
15731405	22	0.4%
03640213	22	0.4%
Other values (420)	5566	96.2%

Most occurring characters

Value	Count	Frequency (%)
1	7076	14.0%
0	5523	10.9%
2	5075	10.0%
3	4346	8.6%
5	4292	8.5%
6	4185	8.3%
7	4002	7.9%
9	3839	7.6%
4	3715	7.3%
8	3621	7.1%
Other values (3)	5036	9.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	45674	90.1%
Other Punctuation	2211	4.4%
Space Separator	2211	4.4%
Uppercase Letter	614	1.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7076	15.5%
0	5523	12.1%
2	5075	11.1%
3	4346	9.5%
5	4292	9.4%
6	4185	9.2%
7	4002	8.8%
9	3839	8.4%
4	3715	8.1%
8	3621	7.9%

Other Punctuation

Value	Count	Frequency (%)
,	2211	100.0%

Space Separator

Value	Count	Frequency (%)
	2211	100.0%

Uppercase Letter

Value	Count	Frequency (%)
X	614	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50096	98.8%
Latin	614	1.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7076	14.1%
0	5523	11.0%
2	5075	10.1%
3	4346	8.7%
5	4292	8.6%
6	4185	8.4%
7	4002	8.0%
9	3839	7.7%
4	3715	7.4%
8	3621	7.2%
Other values (2)	4422	8.8%

Latin

Value	Count	Frequency (%)
X	614	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50710	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7076	14.0%
0	5523	10.9%
2	5075	10.0%
3	4346	8.6%
5	4292	8.5%
6	4185	8.3%
7	4002	7.9%
9	3839	7.6%
4	3715	7.3%
8	3621	7.1%
Other values (3)	5036	9.9%

SJR
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1351
Distinct (%)	37.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6556615385

Minimum	0
Maximum	13.206
Zeros	336
Zeros (%)	9.4%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.182
median	0.388
Q3	0.7975
95-th percentile	2.229
Maximum	13.206
Range	13.206
Interquartile range (IQR)	0.6155

Descriptive statistics

Standard deviation	0.8418573944
Coefficient of variation (CV)	1.283981666
Kurtosis	29.18078038
Mean	0.6556615385
Median Absolute Deviation (MAD)	0.25
Skewness	3.945175071
Sum	2343.99
Variance	0.7087238725
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	336	9.4%
0.1	21	0.6%
0.101	19	0.5%
0.182	14	0.4%
0.117	13	0.4%
0.123	12	0.3%
0.132	12	0.3%
0.106	12	0.3%
0.205	11	0.3%
0.242	11	0.3%
Other values (1341)	3114	87.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	336	9.4%
0.1	21	0.6%
0.101	19	0.5%
0.102	9	0.3%
0.103	8	0.2%
0.104	8	0.2%
0.105	7	0.2%
0.106	12	0.3%
0.107	4	0.1%
0.108	11	0.3%

Value	Count	Frequency (%)
13.206	1	< 0.1%
10.454	1	< 0.1%
8.269	1	< 0.1%
7.536	1	< 0.1%
6.838	1	< 0.1%
6.779	1	< 0.1%
6.569	1	< 0.1%
6.202	1	< 0.1%
5.974	1	< 0.1%
5.619	1	< 0.1%

SJR Quartile
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

Q1	796
Q2	788
Q3	785
Q4	782
-	424

Length

Max length	2
Median length	2
Mean length	1.881398601
Min length	1

Characters and Unicode

Total characters	6726
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Q1
2nd row	Q1
3rd row	Q1
4th row	Q1
5th row	Q1

Common Values

Value	Count	Frequency (%)
Q1	796	22.3%
Q2	788	22.0%
Q3	785	22.0%
Q4	782	21.9%
-	424	11.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
q1	796	22.3%
q2	788	22.0%
q3	785	22.0%
q4	782	21.9%
	424	11.9%

Most occurring characters

Value	Count	Frequency (%)
Q	3151	46.8%
1	796	11.8%
2	788	11.7%
3	785	11.7%
4	782	11.6%
-	424	6.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3151	46.8%
Decimal Number	3151	46.8%
Dash Punctuation	424	6.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	796	25.3%
2	788	25.0%
3	785	24.9%
4	782	24.8%

Uppercase Letter

Value	Count	Frequency (%)
Q	3151	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	424	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3575	53.2%
Latin	3151	46.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	796	22.3%
2	788	22.0%
3	785	22.0%
4	782	21.9%
-	424	11.9%

Latin

Value	Count	Frequency (%)
Q	3151	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Q	3151	46.8%
1	796	11.8%
2	788	11.7%
3	785	11.7%
4	782	11.6%
-	424	6.3%

H index
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	101
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.19440559

Minimum	0
Maximum	377
Zeros	14
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	21
median	45
Q3	79
95-th percentile	174
Maximum	377
Range	377
Interquartile range (IQR)	58

Descriptive statistics

Standard deviation	56.91725183
Coefficient of variation (CV)	0.9301054774
Kurtosis	5.75250529
Mean	61.19440559
Median Absolute Deviation (MAD)	26
Skewness	2.030310536
Sum	218770
Variance	3239.573556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	124	3.5%
15	121	3.4%
57	88	2.5%
56	86	2.4%
21	85	2.4%
26	73	2.0%
46	73	2.0%
18	68	1.9%
45	66	1.8%
64	66	1.8%
Other values (91)	2725	76.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.4%
1	1	< 0.1%
2	11	0.3%
3	34	1.0%
4	30	0.8%
5	22	0.6%
6	31	0.9%
7	53	1.5%
8	22	0.6%
9	36	1.0%

Value	Count	Frequency (%)
377	22	0.6%
225	22	0.6%
221	43	1.2%
218	22	0.6%
202	22	0.6%
201	22	0.6%
194	22	0.6%
174	22	0.6%
170	22	0.6%
163	22	0.6%

Total Docs. (3years)
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	720
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	219.860979

Minimum	0
Maximum	4239
Zeros	186
Zeros (%)	5.2%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	62
median	112
Q3	216
95-th percentile	770.9
Maximum	4239
Range	4239
Interquartile range (IQR)	154

Descriptive statistics

Standard deviation	379.0443303
Coefficient of variation (CV)	1.724018205
Kurtosis	39.6493154
Mean	219.860979
Median Absolute Deviation (MAD)	65
Skewness	5.456642423
Sum	786003
Variance	143674.6043
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	186	5.2%
71	29	0.8%
63	27	0.8%
77	25	0.7%
67	25	0.7%
91	24	0.7%
62	24	0.7%
55	24	0.7%
94	23	0.6%
103	23	0.6%
Other values (710)	3165	88.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	186	5.2%
1	9	0.3%
2	5	0.1%
3	6	0.2%
4	4	0.1%
5	5	0.1%
6	10	0.3%
7	10	0.3%
8	4	0.1%
9	4	0.1%

Value	Count	Frequency (%)
4239	1	< 0.1%
4211	1	< 0.1%
4084	1	< 0.1%
4072	1	< 0.1%
4027	1	< 0.1%
4015	1	< 0.1%
3809	1	< 0.1%
3705	1	< 0.1%
3633	1	< 0.1%
3584	1	< 0.1%

Total Refs.
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2406
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2950.876084

Minimum	0
Maximum	86050
Zeros	105
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	178
Q1	731
median	1321
Q3	2857
95-th percentile	9756.7
Maximum	86050
Range	86050
Interquartile range (IQR)	2126

Descriptive statistics

Standard deviation	5835.449234
Coefficient of variation (CV)	1.977531102
Kurtosis	57.93497299
Mean	2950.876084
Median Absolute Deviation (MAD)	746
Skewness	6.519601857
Sum	10549382
Variance	34052467.76
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	105	2.9%
575	8	0.2%
830	7	0.2%
920	7	0.2%
706	6	0.2%
690	6	0.2%
525	6	0.2%
704	6	0.2%
760	5	0.1%
1070	5	0.1%
Other values (2396)	3414	95.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	105	2.9%
1	1	< 0.1%
5	1	< 0.1%
11	1	< 0.1%
18	1	< 0.1%
28	1	< 0.1%
32	1	< 0.1%
34	1	< 0.1%
39	2	0.1%
42	1	< 0.1%

Value	Count	Frequency (%)
86050	1	< 0.1%
83170	1	< 0.1%
73980	1	< 0.1%
70266	1	< 0.1%
60392	1	< 0.1%
58486	1	< 0.1%
57212	1	< 0.1%
54912	1	< 0.1%
54755	1	< 0.1%
53226	1	< 0.1%

Total Cites (3years)
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1130
Distinct (%)	31.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	626.7267133

Minimum	0
Maximum	26359
Zeros	202
Zeros (%)	5.7%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	51
median	152
Q3	428
95-th percentile	2452.7
Maximum	26359
Range	26359
Interquartile range (IQR)	377

Descriptive statistics

Standard deviation	1828.225794
Coefficient of variation (CV)	2.917102072
Kurtosis	62.54154901
Mean	626.7267133
Median Absolute Deviation (MAD)	128
Skewness	7.055249153
Sum	2240548
Variance	3342409.553
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	202	5.7%
10	35	1.0%
13	23	0.6%
2	22	0.6%
9	22	0.6%
23	20	0.6%
8	20	0.6%
5	20	0.6%
7	19	0.5%
6	19	0.5%
Other values (1120)	3173	88.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	202	5.7%
1	16	0.4%
2	22	0.6%
3	11	0.3%
4	13	0.4%
5	20	0.6%
6	19	0.5%
7	19	0.5%
8	20	0.6%
9	22	0.6%

Value	Count	Frequency (%)
26359	1	< 0.1%
24023	1	< 0.1%
23860	1	< 0.1%
20851	1	< 0.1%
20536	1	< 0.1%
20420	1	< 0.1%
18191	1	< 0.1%
16589	1	< 0.1%
16405	1	< 0.1%
16147	1	< 0.1%

Citable Docs. (3years)
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	700
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	207.285035

Minimum	0
Maximum	4154
Zeros	190
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	56
median	102
Q3	201
95-th percentile	765
Maximum	4154
Range	4154
Interquartile range (IQR)	145

Descriptive statistics

Standard deviation	361.2253979
Coefficient of variation (CV)	1.742650635
Kurtosis	41.03255733
Mean	207.285035
Median Absolute Deviation (MAD)	61
Skewness	5.474647023
Sum	741044
Variance	130483.7881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	190	5.3%
78	30	0.8%
65	28	0.8%
82	28	0.8%
63	26	0.7%
66	26	0.7%
71	26	0.7%
64	25	0.7%
56	25	0.7%
89	25	0.7%
Other values (690)	3146	88.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	190	5.3%
1	14	0.4%
2	7	0.2%
3	6	0.2%
4	8	0.2%
5	7	0.2%
6	8	0.2%
7	17	0.5%
8	1	< 0.1%
9	6	0.2%

Value	Count	Frequency (%)
4154	1	< 0.1%
4142	1	< 0.1%
4074	1	< 0.1%
4069	1	< 0.1%
3969	1	< 0.1%
3942	1	< 0.1%
3797	1	< 0.1%
3572	1	< 0.1%
3533	1	< 0.1%
3286	1	< 0.1%

Cites / Doc. (2years)
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	708
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.077756643

Minimum	0
Maximum	106
Zeros	227
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.53
median	1.24
Q3	2.665
95-th percentile	6.436
Maximum	106
Range	106
Interquartile range (IQR)	2.135

Descriptive statistics

Standard deviation	3.36003226
Coefficient of variation (CV)	1.617144275
Kurtosis	298.805745
Mean	2.077756643
Median Absolute Deviation (MAD)	0.87
Skewness	12.3582909
Sum	7427.98
Variance	11.28981679
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	227	6.3%
1	25	0.7%
0.52	24	0.7%
0.45	23	0.6%
0.8	23	0.6%
0.78	22	0.6%
0.68	22	0.6%
0.33	21	0.6%
0.38	20	0.6%
0.14	20	0.6%
Other values (698)	3148	88.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	227	6.3%
0.01	4	0.1%
0.02	8	0.2%
0.03	9	0.3%
0.04	3	0.1%
0.05	7	0.2%
0.06	6	0.2%
0.07	15	0.4%
0.08	10	0.3%
0.09	15	0.4%

Value	Count	Frequency (%)
106	1	< 0.1%
54	1	< 0.1%
53	1	< 0.1%
39.56	1	< 0.1%
38.78	1	< 0.1%
27.06	1	< 0.1%
25.29	1	< 0.1%
25.21	1	< 0.1%
22.5	1	< 0.1%
22.43	1	< 0.1%

Ref. / Doc.
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2427
Distinct (%)	67.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.38836084

Minimum	0
Maximum	390
Zeros	105
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	11.535
Q1	23.28
median	31.61
Q3	41.505
95-th percentile	60.683
Maximum	390
Range	390
Interquartile range (IQR)	18.225

Descriptive statistics

Standard deviation	22.2820181
Coefficient of variation (CV)	0.6479523174
Kurtosis	50.48406977
Mean	34.38836084
Median Absolute Deviation (MAD)	8.96
Skewness	5.124727005
Sum	122938.39
Variance	496.4883304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	105	2.9%
30	6	0.2%
39	6	0.2%
33	6	0.2%
32	6	0.2%
35.26	6	0.2%
28.25	5	0.1%
28	5	0.1%
40.29	5	0.1%
27.88	5	0.1%
Other values (2417)	3420	95.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	105	2.9%
1	1	< 0.1%
1.98	1	< 0.1%
2.68	1	< 0.1%
3.21	1	< 0.1%
4.5	1	< 0.1%
4.61	1	< 0.1%
4.84	1	< 0.1%
4.89	1	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
390	1	< 0.1%
314	1	< 0.1%
282	1	< 0.1%
276	1	< 0.1%
243.67	1	< 0.1%
241.71	1	< 0.1%
238	1	< 0.1%
235.33	1	< 0.1%
225.8	1	< 0.1%
213.67	1	< 0.1%

Country
Categorical

HIGH CORRELATION

Distinct	34
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

United States	876
Netherlands	849
United Kingdom	690
Switzerland	160
Germany	157
Other values (29)	843

Length

Max length	18
Median length	14
Mean length	11.11916084
Min length	4

Characters and Unicode

Total characters	39751
Distinct characters	39
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	Netherlands
5th row	United States

Common Values

Value	Count	Frequency (%)
United States	876	24.5%
Netherlands	849	23.7%
United Kingdom	690	19.3%
Switzerland	160	4.5%
Germany	157	4.4%
Singapore	155	4.3%
China	96	2.7%
Japan	75	2.1%
Czech Republic	61	1.7%
Poland	47	1.3%
Other values (24)	409	11.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
united	1566	29.8%
states	876	16.7%
netherlands	849	16.2%
kingdom	690	13.1%
switzerland	160	3.0%
germany	157	3.0%
singapore	155	2.9%
china	96	1.8%
japan	75	1.4%
republic	61	1.2%
Other values (28)	571	10.9%

Most occurring characters

Value	Count	Frequency (%)
e	4958	12.5%
t	4458	11.2%
n	4164	10.5%
d	3454	8.7%
a	3019	7.6%
i	3012	7.6%
s	1868	4.7%
	1681	4.2%
U	1578	4.0%
r	1507	3.8%
Other values (29)	10052	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32814	82.5%
Uppercase Letter	5256	13.2%
Space Separator	1681	4.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4958	15.1%
t	4458	13.6%
n	4164	12.7%
d	3454	10.5%
a	3019	9.2%
i	3012	9.2%
s	1868	5.7%
r	1507	4.6%
l	1224	3.7%
h	1034	3.2%
Other values (12)	4116	12.5%

Uppercase Letter

Value	Count	Frequency (%)
U	1578	30.0%
S	1250	23.8%
N	849	16.2%
K	708	13.5%
C	183	3.5%
G	172	3.3%
I	110	2.1%
R	97	1.8%
F	84	1.6%
J	75	1.4%
Other values (6)	150	2.9%

Space Separator

Value	Count	Frequency (%)
	1681	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38070	95.8%
Common	1681	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4958	13.0%
t	4458	11.7%
n	4164	10.9%
d	3454	9.1%
a	3019	7.9%
i	3012	7.9%
s	1868	4.9%
U	1578	4.1%
r	1507	4.0%
S	1250	3.3%
Other values (28)	8802	23.1%

Common

Value	Count	Frequency (%)
	1681	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39751	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4958	12.5%
t	4458	11.2%
n	4164	10.5%
d	3454	8.7%
a	3019	7.6%
i	3012	7.6%
s	1868	4.7%
	1681	4.2%
U	1578	4.0%
r	1507	3.8%
Other values (29)	10052	25.3%

Region
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

Western Europe	1986
Northern America	902
Asiatic Region	432
Eastern Europe	171
Middle East	44
Other values (3)	40

Length

Max length	18
Median length	14
Mean length	14.47132867
Min length	11

Characters and Unicode

Total characters	51735
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Northern America
2nd row	Northern America
3rd row	Northern America
4th row	Western Europe
5th row	Northern America

Common Values

Value	Count	Frequency (%)
Western Europe	1986	55.6%
Northern America	902	25.2%
Asiatic Region	432	12.1%
Eastern Europe	171	4.8%
Middle East	44	1.2%
Pacific Region	23	0.6%
Latin America	11	0.3%
Africa/Middle East	6	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe	2157	30.2%
western	1986	27.8%
america	913	12.8%
northern	902	12.6%
region	455	6.4%
asiatic	432	6.0%
eastern	171	2.4%
east	50	0.7%
middle	44	0.6%
pacific	23	0.3%
Other values (2)	17	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	8620	16.7%
r	7037	13.6%
	3575	6.9%
t	3552	6.9%
n	3525	6.8%
o	3514	6.8%
s	2639	5.1%
E	2378	4.6%
i	2345	4.5%
u	2157	4.2%
Other values (17)	12393	24.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40998	79.2%
Uppercase Letter	7156	13.8%
Space Separator	3575	6.9%
Other Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8620	21.0%
r	7037	17.2%
t	3552	8.7%
n	3525	8.6%
o	3514	8.6%
s	2639	6.4%
i	2345	5.7%
u	2157	5.3%
p	2157	5.3%
a	1606	3.9%
Other values (7)	3846	9.4%

Uppercase Letter

Value	Count	Frequency (%)
E	2378	33.2%
W	1986	27.8%
A	1351	18.9%
N	902	12.6%
R	455	6.4%
M	50	0.7%
P	23	0.3%
L	11	0.2%

Space Separator

Value	Count	Frequency (%)
	3575	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48154	93.1%
Common	3581	6.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8620	17.9%
r	7037	14.6%
t	3552	7.4%
n	3525	7.3%
o	3514	7.3%
s	2639	5.5%
E	2378	4.9%
i	2345	4.9%
u	2157	4.5%
p	2157	4.5%
Other values (15)	10230	21.2%

Common

Value	Count	Frequency (%)
	3575	99.8%
/	6	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8620	16.7%
r	7037	13.6%
	3575	6.9%
t	3552	6.9%
n	3525	6.8%
o	3514	6.8%
s	2639	5.1%
E	2378	4.6%
i	2345	4.5%
u	2157	4.2%
Other values (17)	12393	24.0%

Publisher
Categorical

HIGH CARDINALITY
MISSING

Distinct	134
Distinct (%)	3.8%
Missing	47
Missing (%)	1.3%
Memory size	28.1 KiB

Springer Netherlands	396
Elsevier	245
IOS Press BV	172
Elsevier Ltd.	155
World Scientific Publishing Co. Pte Ltd	136
Other values (129)	2424

Length

Max length	90
Median length	61
Mean length	24.48185941
Min length	7

Characters and Unicode

Total characters	86372
Distinct characters	60
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Academic Press Inc.
2nd row	Academic Press Inc.
3rd row	IEEE Computer Society
4th row	Springer Netherlands
5th row	Institute of Electrical and Electronics Engineers Inc.

Common Values

Value	Count	Frequency (%)
Springer Netherlands	396	11.1%
Elsevier	245	6.9%
IOS Press BV	172	4.8%
Elsevier Ltd.	155	4.3%
World Scientific Publishing Co. Pte Ltd	136	3.8%
Institute of Electrical and Electronics Engineers Inc.	124	3.5%
Springer Verlag	109	3.0%
Taylor and Francis Ltd.	96	2.7%
Cambridge University Press	87	2.4%
Springer London	83	2.3%
Other values (124)	1925	53.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
springer	826	7.1%
ltd	542	4.6%
press	522	4.5%
elsevier	485	4.1%
and	454	3.9%
netherlands	396	3.4%
of	387	3.3%
inc	375	3.2%
publishing	357	3.0%
university	249	2.1%
Other values (247)	7119	60.8%

Most occurring characters

Value	Count	Frequency (%)
	8184	9.5%
e	8120	9.4%
i	6928	8.0%
n	6393	7.4%
r	6010	7.0%
s	4873	5.6%
t	4157	4.8%
a	3846	4.5%
l	3574	4.1%
c	3480	4.0%
Other values (50)	30807	35.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	64494	74.7%
Uppercase Letter	12360	14.3%
Space Separator	8184	9.5%
Other Punctuation	1046	1.2%
Dash Punctuation	97	0.1%
Open Punctuation	74	0.1%
Close Punctuation	74	0.1%
Math Symbol	43	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8120	12.6%
i	6928	10.7%
n	6393	9.9%
r	6010	9.3%
s	4873	7.6%
t	4157	6.4%
a	3846	6.0%
l	3574	5.5%
c	3480	5.4%
o	3208	5.0%
Other values (15)	13905	21.6%

Uppercase Letter

Value	Count	Frequency (%)
S	1991	16.1%
I	1357	11.0%
P	1350	10.9%
E	1345	10.9%
A	956	7.7%
L	704	5.7%
C	666	5.4%
N	558	4.5%
M	492	4.0%
G	392	3.2%
Other values (14)	2549	20.6%

Other Punctuation

Value	Count	Frequency (%)
.	887	84.8%
,	106	10.1%
/	22	2.1%
&	11	1.1%
;	11	1.1%
'	9	0.9%

Space Separator

Value	Count	Frequency (%)
	8184	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	97	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	74	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	74	100.0%

Math Symbol

Value	Count	Frequency (%)
+	43	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76854	89.0%
Common	9518	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8120	10.6%
i	6928	9.0%
n	6393	8.3%
r	6010	7.8%
s	4873	6.3%
t	4157	5.4%
a	3846	5.0%
l	3574	4.7%
c	3480	4.5%
o	3208	4.2%
Other values (39)	26265	34.2%

Common

Value	Count	Frequency (%)
	8184	86.0%
.	887	9.3%
,	106	1.1%
-	97	1.0%
(	74	0.8%
)	74	0.8%
+	43	0.5%
/	22	0.2%
&	11	0.1%
;	11	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	86372	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8184	9.5%
e	8120	9.4%
i	6928	8.0%
n	6393	7.4%
r	6010	7.0%
s	4873	5.6%
t	4157	4.8%
a	3846	4.5%
l	3574	4.1%
c	3480	4.0%
Other values (50)	30807	35.7%

Coverage
Categorical

HIGH CARDINALITY

Distinct	104
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

1995-2021	132
2004-2021	126
1987-2021	110
1993-2021	110
1989-2021	110
Other values (99)	2987

Length

Max length	38
Median length	9
Mean length	10.37622378
Min length	4

Characters and Unicode

Total characters	37095
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	1970-2021
2nd row	1985-2021
3rd row	1978-2021
4th row	1998-2021
5th row	1993-2021

Common Values

Value	Count	Frequency (%)
1995-2021	132	3.7%
2004-2021	126	3.5%
1987-2021	110	3.1%
1993-2021	110	3.1%
1989-2021	110	3.1%
2001-2021	106	3.0%
1996-2021	88	2.5%
2005-2021	85	2.4%
2008-2021	84	2.3%
2010-2021	84	2.3%
Other values (94)	2540	71.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2004-2021	167	4.0%
1996-2021	154	3.7%
1995-2021	154	3.7%
1987-2021	154	3.7%
2001-2021	128	3.1%
1993-2021	110	2.6%
1989-2021	110	2.6%
2012-2021	100	2.4%
1998-2021	88	2.1%
1997-2021	88	2.1%
Other values (112)	2907	69.9%

Most occurring characters

Value	Count	Frequency (%)
2	9667	26.1%
0	7255	19.6%
1	6817	18.4%
9	3988	10.8%
-	3857	10.4%
8	1439	3.9%
7	875	2.4%
6	612	1.6%
5	588	1.6%
,	585	1.6%
Other values (3)	1412	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32068	86.4%
Dash Punctuation	3857	10.4%
Other Punctuation	585	1.6%
Space Separator	585	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	9667	30.1%
0	7255	22.6%
1	6817	21.3%
9	3988	12.4%
8	1439	4.5%
7	875	2.7%
6	612	1.9%
5	588	1.8%
4	546	1.7%
3	281	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	3857	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	585	100.0%

Space Separator

Value	Count	Frequency (%)
	585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	37095	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	9667	26.1%
0	7255	19.6%
1	6817	18.4%
9	3988	10.8%
-	3857	10.4%
8	1439	3.9%
7	875	2.4%
6	612	1.6%
5	588	1.6%
,	585	1.6%
Other values (3)	1412	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37095	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	9667	26.1%
0	7255	19.6%
1	6817	18.4%
9	3988	10.8%
-	3857	10.4%
8	1439	3.9%
7	875	2.4%
6	612	1.6%
5	588	1.6%
,	585	1.6%
Other values (3)	1412	3.8%

Categories
Categorical

HIGH CARDINALITY

Distinct	1033
Distinct (%)	28.9%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

Artificial Intelligence (Q4); Software (Q4)	88
Artificial Intelligence (Q2)	85
Artificial Intelligence (Q3)	72
Artificial Intelligence (Q1)	66
Artificial Intelligence (Q1); Linguistics and Language (Q1)	34
Other values (1028)	3230

Length

Max length	314
Median length	231
Mean length	107.9762238
Min length	10

Characters and Unicode

Total characters	386015
Distinct characters	54
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	506 ?
Unique (%)	14.2%

Sample

1st row	Artificial Intelligence (Q1); Developmental and Educational Psychology (Q1); Experimental and Cognitive Psychology (Q1); Linguistics and Language (Q1); Neuropsychology and Physiological Psychology (Q1)
2nd row	Artificial Intelligence (Q1); Experimental and Cognitive Psychology (Q1); Linguistics and Language (Q1); Neuropsychology and Physiological Psychology (Q1)
3rd row	Applied Mathematics (Q1); Artificial Intelligence (Q1); Computational Theory and Mathematics (Q1); Computer Vision and Pattern Recognition (Q1); Software (Q1)
4th row	Artificial Intelligence (Q1)
5th row	Applied Mathematics (Q1); Artificial Intelligence (Q1); Computational Theory and Mathematics (Q1); Control and Systems Engineering (Q1)

Common Values

Value	Count	Frequency (%)
Artificial Intelligence (Q4); Software (Q4)	88	2.5%
Artificial Intelligence (Q2)	85	2.4%
Artificial Intelligence (Q3)	72	2.0%
Artificial Intelligence (Q1)	66	1.8%
Artificial Intelligence (Q1); Linguistics and Language (Q1)	34	1.0%
Artificial Intelligence (Q4)	33	0.9%
Artificial Intelligence (Q1); Software (Q1)	26	0.7%
Artificial Intelligence (Q1); Computer Vision and Pattern Recognition (Q1); Software (Q1)	26	0.7%
Artificial Intelligence (Q2); Software (Q2)	25	0.7%
Artificial Intelligence (Q4); Computer Networks and Communications (Q4); Software (Q4)	25	0.7%
Other values (1023)	3095	86.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	3935	9.0%
artificial	3480	8.0%
intelligence	3480	8.0%
q1	3237	7.4%
q3	2744	6.3%
q4	2662	6.1%
q2	2647	6.1%
computer	2029	4.6%
software	1538	3.5%
engineering	1370	3.1%
Other values (141)	16545	37.9%

Most occurring characters

Value	Count	Frequency (%)
	40092	10.4%
i	31724	8.2%
e	31605	8.2%
n	28019	7.3%
t	23587	6.1%
a	19535	5.1%
c	17685	4.6%
l	17178	4.5%
o	16571	4.3%
r	15797	4.1%
Other values (44)	144222	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	261716	67.8%
Space Separator	40092	10.4%
Uppercase Letter	39433	10.2%
Close Punctuation	11916	3.1%
Open Punctuation	11916	3.1%
Decimal Number	11290	2.9%
Other Punctuation	9269	2.4%
Dash Punctuation	383	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	31724	12.1%
e	31605	12.1%
n	28019	10.7%
t	23587	9.0%
a	19535	7.5%
c	17685	6.8%
l	17178	6.6%
o	16571	6.3%
r	15797	6.0%
g	9685	3.7%
Other values (14)	50330	19.2%

Uppercase Letter

Value	Count	Frequency (%)
Q	11290	28.6%
A	4757	12.1%
I	4618	11.7%
C	4518	11.5%
S	4476	11.4%
E	2365	6.0%
M	1488	3.8%
P	1197	3.0%
N	874	2.2%
T	755	1.9%
Other values (10)	3095	7.8%

Decimal Number

Value	Count	Frequency (%)
1	3237	28.7%
3	2744	24.3%
4	2662	23.6%
2	2647	23.4%

Other Punctuation

Value	Count	Frequency (%)
;	9103	98.2%
,	166	1.8%

Space Separator

Value	Count	Frequency (%)
	40092	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11916	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	11916	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	383	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	301149	78.0%
Common	84866	22.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	31724	10.5%
e	31605	10.5%
n	28019	9.3%
t	23587	7.8%
a	19535	6.5%
c	17685	5.9%
l	17178	5.7%
o	16571	5.5%
r	15797	5.2%
Q	11290	3.7%
Other values (34)	88158	29.3%

Common

Value	Count	Frequency (%)
	40092	47.2%
)	11916	14.0%
(	11916	14.0%
;	9103	10.7%
1	3237	3.8%
3	2744	3.2%
4	2662	3.1%
2	2647	3.1%
-	383	0.5%
,	166	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	386015	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	40092	10.4%
i	31724	8.2%
e	31605	8.2%
n	28019	7.3%
t	23587	6.1%
a	19535	5.1%
c	17685	4.6%
l	17178	4.5%
o	16571	4.3%
r	15797	4.1%
Other values (44)	144222	37.4%

Year
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	22
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.398322

Minimum	2000
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	2000
5-th percentile	2001
Q1	2008
median	2013
Q3	2018
95-th percentile	2021
Maximum	2021
Range	21
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.163478684
Coefficient of variation (CV)	0.003062752844
Kurtosis	-1.018533773
Mean	2012.398322
Median Absolute Deviation (MAD)	5
Skewness	-0.3669761042
Sum	7194324
Variance	37.98846948
Monotonicity	Increasing

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2020	249	7.0%
2021	247	6.9%
2019	237	6.6%
2018	226	6.3%
2017	217	6.1%
2016	202	5.7%
2015	189	5.3%
2014	180	5.0%
2013	171	4.8%
2012	167	4.7%
Other values (12)	1490	41.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2000	95	2.7%
2001	99	2.8%
2002	100	2.8%
2003	103	2.9%
2004	113	3.2%
2005	121	3.4%
2006	129	3.6%
2007	132	3.7%
2008	138	3.9%
2009	145	4.1%

Value	Count	Frequency (%)
2021	247	6.9%
2020	249	7.0%
2019	237	6.6%
2018	226	6.3%
2017	217	6.1%
2016	202	5.7%
2015	189	5.3%
2014	180	5.0%
2013	171	4.8%
2012	167	4.7%

Total Docs. per Year
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	431
Distinct (%)	12.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88.31272727

Minimum	0
Maximum	1776
Zeros	84
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	25
median	43
Q3	84.5
95-th percentile	315.3
Maximum	1776
Range	1776
Interquartile range (IQR)	59.5

Descriptive statistics

Standard deviation	156.7882711
Coefficient of variation (CV)	1.775375712
Kurtosis	38.79432467
Mean	88.31272727
Median Absolute Deviation (MAD)	23
Skewness	5.486954542
Sum	315718
Variance	24582.56194
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	84	2.3%
24	69	1.9%
22	65	1.8%
26	64	1.8%
20	61	1.7%
27	58	1.6%
31	58	1.6%
25	57	1.6%
28	57	1.6%
30	55	1.5%
Other values (421)	2947	82.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	84	2.3%
1	18	0.5%
2	11	0.3%
3	21	0.6%
4	14	0.4%
5	13	0.4%
6	19	0.5%
7	17	0.5%
8	18	0.5%
9	14	0.4%

Value	Count	Frequency (%)
1776	1	< 0.1%
1729	1	< 0.1%
1723	1	< 0.1%
1710	1	< 0.1%
1547	1	< 0.1%
1493	1	< 0.1%
1474	1	< 0.1%
1395	1	< 0.1%
1384	1	< 0.1%
1370	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Rank	Sourceid	Title	Type	Issn	SJR	SJR Quartile	H index	Total Docs. (3years)	Total Refs.	Total Cites (3years)	Citable Docs. (3years)	Cites / Doc. (2years)	Ref. / Doc.	Country	Region	Publisher	Coverage	Categories	Year	Total Docs. per Year
0	0	1	12872	Cognitive Psychology	journal	10955623, 00100285	3.109	Q1	123	63	1294	276	63	3.61	76.12	United States	Northern America	Academic Press Inc.	1970-2021	Artificial Intelligence (Q1); Developmental and Educational Psychology (Q1); Experimental and Cognitive Psychology (Q1); Linguistics and Language (Q1); Neuropsychology and Physiological Psychology (Q1)	2000	17.0
1	1	2	22478	Journal of Memory and Language	journal	10960821, 0749596X	2.933	Q1	156	160	2830	475	160	2.72	47.17	United States	Northern America	Academic Press Inc.	1985-2021	Artificial Intelligence (Q1); Experimental and Cognitive Psychology (Q1); Linguistics and Language (Q1); Neuropsychology and Physiological Psychology (Q1)	2000	60.0
2	2	3	24254	IEEE Transactions on Pattern Analysis and Machine Intelligence	journal	01628828	1.698	Q1	377	427	4176	1752	427	3.36	32.63	United States	Northern America	IEEE Computer Society	1978-2021	Applied Mathematics (Q1); Artificial Intelligence (Q1); Computational Theory and Mathematics (Q1); Computer Vision and Pattern Recognition (Q1); Software (Q1)	2000	128.0
3	3	4	24157	Autonomous Agents and Multi-Agent Systems	journal	15737454, 13872532	1.679	Q1	72	25	601	94	25	3.76	42.93	Netherlands	Western Europe	Springer Netherlands	1998-2021	Artificial Intelligence (Q1)	2000	14.0
4	4	5	24242	IEEE Transactions on Fuzzy Systems	journal	10636706	1.582	Q1	202	180	1748	388	175	1.96	24.28	United States	Northern America	Institute of Electrical and Electronics Engineers Inc.	1993-2021	Applied Mathematics (Q1); Artificial Intelligence (Q1); Computational Theory and Mathematics (Q1); Control and Systems Engineering (Q1)	2000	72.0
5	5	6	23127	Journal of the ACM	journal	00045411, 1557735X	1.287	Q1	131	95	1222	240	94	2.56	34.91	United States	Northern America	Association for Computing Machinery (ACM)	1954-2021	Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Hardware and Architecture (Q1); Information Systems (Q1); Software (Q1)	2000	35.0
6	6	7	18050	International Journal of Robotics Research	journal	02783649, 17413176	1.192	Q1	170	260	2061	331	258	1.27	28.63	United States	Northern America	SAGE Publications Inc.	1982-2021	Applied Mathematics (Q1); Artificial Intelligence (Q1); Electrical and Electronic Engineering (Q1); Mechanical Engineering (Q1); Modeling and Simulation (Q1); Software (Q1)	2000	72.0
7	7	8	12874	Cognitive Science	journal	03640213, 15516709	1.090	Q1	120	49	1458	104	49	1.69	72.90	United States	Northern America	Wiley-Blackwell	1977-2021	Artificial Intelligence (Q1); Cognitive Neuroscience (Q2); Experimental and Cognitive Psychology (Q2)	2000	20.0
8	8	9	72242	International Journal of Computer Vision	journal	09205691, 15731405	1.050	Q1	201	178	2306	542	178	2.72	36.03	Netherlands	Western Europe	Springer Netherlands	1987-2021	Artificial Intelligence (Q1); Computer Vision and Pattern Recognition (Q1); Software (Q1)	2000	64.0
9	9	10	23675	Artificial Intelligence	journal	00043702	1.018	Q1	155	258	3391	615	257	1.94	45.82	Netherlands	Western Europe	Elsevier	1970-2022	Artificial Intelligence (Q1); Linguistics and Language (Q1)	2000	74.0

Last rows

	df_index	Rank	Sourceid	Title	Type	Issn	SJR	SJR Quartile	H index	Total Docs. (3years)	Total Refs.	Total Cites (3years)	Citable Docs. (3years)	Cites / Doc. (2years)	Ref. / Doc.	Country	Region	Publisher	Coverage	Categories	Year	Total Docs. per Year
3565	13273	243	21100327713	International Journal of Automation and Smart Technology	journal	22239766	0.121	Q4	11	52	0	21	52	0.54	0.00	Taiwan	Asiatic Region	Chinese Institute of Automation Engineers (CIAE)	2011-2020	Artificial Intelligence (Q4); Control and Systems Engineering (Q4); Electrical and Electronic Engineering (Q4); Hardware and Architecture (Q4); Human-Computer Interaction (Q4); Signal Processing (Q4)	2021	0.0
3566	13274	244	21101037310	Register: Jurnal Ilmiah Teknologi Sistem Informasi	journal	25023357, 25030477	0.120	Q4	4	42	444	15	42	0.36	31.71	Indonesia	Asiatic Region	Universitas Pesantren Tinggi Darul Ulum	2015-2022	Artificial Intelligence (Q4); Computer Science (miscellaneous) (Q4); Decision Sciences (miscellaneous) (Q4); Information Systems (Q4); Information Systems and Management (Q4)	2021	14.0
3567	13275	245	145264	Transactions of the Japanese Society for Artificial Intelligence	journal	13460714	0.117	Q4	17	106	1059	20	106	0.18	21.61	Japan	Asiatic Region	Japanese Society for Artificial Intelligence	2001-2021	Artificial Intelligence (Q4); Software (Q4)	2021	49.0
3568	13276	246	21100380994	Lecture Notes in Computational Vision and Biomechanics	book series	22129391, 22129413	0.114	Q4	16	640	0	537	126	0.59	0.00	Switzerland	Western Europe	Springer International Publishing AG	2012-2020	Artificial Intelligence (Q4); Biomedical Engineering (Q4); Computer Science Applications (Q4); Computer Vision and Pattern Recognition (Q4); Mechanical Engineering (Q4); Signal Processing (Q4)	2021	0.0
3569	13277	247	21101052735	International Journal of Asia Digital Art and Design	journal	21897441, 17388074	0.110	Q4	0	3	98	0	3	0.00	12.25	Japan	Asiatic Region	Asia Digital Art and Design Association	2020-2021	Visual Arts and Performing Arts (Q3); Artificial Intelligence (Q4); Computer Graphics and Computer-Aided Design (Q4); Computer Networks and Communications (Q4); Software (Q4)	2021	8.0
3570	13278	248	5800207596	Linguistica	journal	2079312X, 11320214	0.102	Q4	4	63	189	4	57	0.07	27.00	Uruguay	Latin America	Asociacion de Linguistica y Filologia de la America Latina	2012-2021	Artificial Intelligence (Q4); Linguistics and Language (Q4)	2021	7.0
3571	13280	250	21101042133	Hellenic Journal of Radiology	journal	26541629, 25290568	0.000	-	0	0	764	0	0	0.00	24.65	Greece	Western Europe	Zita Medical Managent	2021	Artificial Intelligence; Computer Science Applications; Radiological and Ultrasound Technology; Radiology, Nuclear Medicine and Imaging	2021	31.0
3572	13281	251	21100902642	International Journal of Computational Intelligence in Control (discontinued)	journal	09748571	0.000	-	4	41	640	33	40	0.03	80.00	India	Asiatic Region	Muk Publications and Distributions	2018-2021	Artificial Intelligence; Biotechnology; Computational Mechanics; Computer Science Applications; Information Systems and Management	2021	8.0
3573	13282	252	21101049065	International Journal of Interactive Multimedia and Artificial Intelligence	journal	19891660	0.000	-	3	0	3836	0	0	0.00	46.22	Spain	Western Europe	Universidad Internacional de la Rioja	2021	Artificial Intelligence; Computer Networks and Communications; Computer Science Applications; Computer Vision and Pattern Recognition; Signal Processing; Statistics and Probability	2021	83.0
3574	13283	253	21101044836	Journal of Computer Science and Technology(Argentina)	journal	16666046, 16666038	0.000	-	1	0	478	0	0	0.00	25.16	Argentina	Latin America	Facultad de Informatica, Universidad Nacional de La Plata	2021	Artificial Intelligence; Computer Science Applications; Computer Science (miscellaneous); Computer Vision and Pattern Recognition; Hardware and Architecture; Software	2021	19.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Space Separator

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common